IB109 Design and Implementation of Parallel Systems

Faculty of Informatics
Spring 2026
Extent and Intensity
2/0/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium).
In-person direct teaching
Teacher(s)
prof. RNDr. Jiří Barnat, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Jiří Barnat, Ph.D.
Department of Computer Science – Faculty of Informatics
Supplier department: Department of Computer Science – Faculty of Informatics
Timetable
Wed 18. 2. to Wed 13. 5. Wed 16:00–17:50 FAST/D182
Prerequisites
The knowledge of low-level programming in C is expected at the level PB111.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Abstract
The goal of this course is to introduce to students the principles of design and implementation of parallel systems and get them acquainted with the programmer's means for their development.
Learning outcomes
On successful completion, students should understand the principles of design and implementation of parallel algorithms and should have limited experience with programmer's means for their development. In particular, students should be able to design and implement their own parallel applications, they should know how to use selected libraries supporting the development of parallel applications, and should be able to explain what is behind the API calls to such libraries.
Key topics
Motivation for parallel computing. Parallel algorithm design -- decomposition and communication. Analyzes of parallel algorithms. Parallel algorithms in shared-memory.OpenMP, Intel TBB. POSIX Threads. Lock-free algorithmics. Parallel algorithms in distributed-memory. Message Passing Interface (MPI). Examples of parallel graph algorithms. Parallel algorithms for many-core platforms.
Study resources and literature
  • HERLIHY, Maurice and Nir SHAVIT. The art of multiprocessor programming. Amsterdam: Elsevier, 2008, xx, 508. ISBN 9780123705914. info
Approaches, practices, and methods used in teaching
lectures, tutorial demonstrations
Method of verifying learning outcomes and course completion requirements
The course is completed with a written exam.
Language of instruction
Czech
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/~xbarnat/IB109/index.html
The course is also listed under the following terms Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2017, Spring 2018, Spring 2019, Spring 2020, Spring 2021, Spring 2022, Spring 2023, Spring 2024, Spring 2025.
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